Learning & Accessibility

Most LMS platforms report completion rates, not effectiveness. Teams do not know what is actually improving performance, trainers rarely get feedback beyond a post-session survey score, and instructional designers have no reliable signal on whether content structure, learning standards alignment, or delivery format is contributing to the gap.

Tervynex GapLens for Learning Teams replaces guesswork with real signal. Instead of reporting who finished a course, it analyzes learner, trainer, and content performance data to pinpoint exactly where knowledge transfer is breaking down across delivery, instructional design, content quality, and learning standards alignment. Trainers get structured, specific coaching feedback instead of a generic survey score. Instructional designers get a clear, prioritized picture of where content and structure changes will actually move the needle.

L&D leaders walk into budget conversations with real evidence instead of activity metrics, trainers get the kind of feedback that actually changes how they teach, and instructional designers can iterate on content and standards alignment with signal rather than assumption.

Turning raw material such as docs, decks, and SME interviews into a structured course takes weeks and multiple tools.

Tervynex Compose brings the full process into one tool. A persistent brand rulebook enforces a client's exact style, tone, and formatting rules at the sentence level. An auditable ADDIE, SAM, and Bloom's Taxonomy data model exposes the instructional design methodology as structured data instead of hiding it inside a prompt, so reviewers can see why the storyboard is built the way it is. The approved storyboard exports as native SCORM or xAPI with no separate authoring tool required. A cross-tool capability advisory flags what a chosen authoring tool (Storyline, Rise, iSpring) cannot build, and suggests a workaround.

What used to take weeks and three separate tools now happens in one pass, on-brand from the very first draft, without asking your instructional designers to trade quality for speed.

Every piece of content still has to go through L&D, even when the person who actually knows the material could explain it themselves. That dependency turns subject matter experts into a queue instead of a resource.

Tervynex SME Compose lets a subject matter expert upload their own raw material, notes, a recording, a rough outline, whatever they already have, and turns it directly into a variety of distributable content, without routing through the Learning team first. It is built for the expert who knows the material, not the instructional designer who has to translate it.

Content that used to wait in an L&D queue ships directly from the person who knows it best, and your Learning team's time goes to the work that actually needs their expertise.

Standard course content assumes every learner reads, processes, and paces information the same way. When it does not work for someone, most platforms offer no real way to adjust it short of rebuilding the entire course.

Tervynex Learlume gives every learner control over how existing content is displayed and paced, without your team touching the course itself. It is a layer that sits on top of what you have already built, not a mandate to rebuild it.

Every learner gets a version of the material that actually works for them, and your L&D team gets a real accessibility support layer without a rebuild project attached to it.